This project will maximize the utility and usefulness of three HSPF models that have been constructed and calibrated for hydrology. The contractor will identify and reduce parameterization errors in the following three HSPF models: 1) Buffalo River Watershed, 2 ) Thief River Watershed, 3) Bois de Sioux-Mustinka Watersheds. This will result, not only in a better hydrology calibration, but will also improve each of the models’ ability to more accurately estimate sediment and pollutant loads and concentrations.
The goal of this project is to construct, calibrate, and validate five Hydrologic Simulation Program FORTRAN (HSPF) watershed models. The outcome will be HSPF models that can readily be used to provide information to support conventional parameter TMDLs. These models will generate predicted output timeseries for hydrology, sediment, nutrients, and dissolved oxygen which are consistent with available sets of observed data.
This project will continue to develop, and calibrate/validate the hydrology of an HSPF watershed model for the Thief River watershed. The consultant will add representation of point source discharges to the model. The consultant will compile flow data for the purposes of calibration and validation. An initial hydrologic calibration will be performed and submitted for approval. The consultant will produce an HSPF watershed model that can readily be used to provide information to support conventional parameter TMDLs.
This project will support water quality monitoring and data analysis in nine major watersheds (8-digit Hydrologic Unit Codes) of the Lower Red River Basin. The monitoring will assist in providing water chemistry data needed to calculate annual pollutant loads for the Major Watershed Load Monitoring Program (MWLMP) and provide short term data sets of select parameters to other MPCA programs.
The goal of this project is to engage citizens in local watershed monitoring, work with regional partners to promote understanding and protection of watersheds, and organize and facilitate gathering of scientific data for the benefit of water quality in the Red River Basin.
The goal of this project is to engage citizens in local watershed monitoring, work with regional partners to promote understanding and protection of watersheds, and organize and facilitate gathering of scientific data for the benefit of water quality in the Red River Basin.
The purpose of this project is to improve understanding of primary productivity in the Red River and the diversity and population structure of the algal communities occurring along the river system. This will be accomplished through taxonomic identification of periphyton and phytoplankton assemblages necessary for characterizing responses to nutrient gradients along the Red River of the North.
PROJECT GOAL: Improve agricultural production and reduce flooding losses while minimizing the unwanted environmental impacts of subsurface drainage.
PROJECT OBJECTIVE: Demonstrate controlled tile drainage as a flood mitigation practice as well as the water quality and quantity benefits. The project is intended to set an example to increase the adoption of drainage water management practices in the Red River Valley.
Controlled drainage and a saturated buffer are both being evaluated as part of this project.
This project will finalize the Hydrologic Simulation Program FORTRAN (HSPF) watershed model construction and complete the calibration/validation process. The consultant will produce an HSPF watershed model that can readily be used to provide information to support conventional parameter TMDLs.
The goal of this project is to calculate an additional bacteria total maximum daily load and incorporating that information in the Total Maximum Daily Load Report (TMDL) and the Watershed Restoration and Protection Strategy (WRAPS) report. Other services that will be provided during this project are technical assistance, assistance with responses to comments received during the public notice process, incorporating public comments into the documents and preparing the documents for final federal and state approval.
